Data Lake

The article analyzes modern approaches to the use of data warehouses and data lakes in the construction of information technology platforms for smart regions. Data processing technologies in data warehouses and data lakes allow for the integration, storage, and analysis of large amounts of information generated by various sources, including operational transaction systems, IoT sensors, and other data received in real time.

An analytical review of the development of Data Lakes and its application in various industries, as part of Big data concept solutions, was conducted. The available standard architectural solutions for the Data Lake organization are considered. Also, specialized areas that require different or additional aspects to solve the tasks, depending on the field of Data Lake use, are taken into account. For the proper organization of Data Lake, various data processing tools are used, including distributed data storage systems, semantic networks, and especially metadata.